Triple

T7741493
Position Surface form Disambiguated ID Type / Status
Subject Clément Marot E175519 entity
Predicate residence P75 FINISHED
Object Ferrara E68585 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ferrara | Statement: [Clément Marot, residence, Ferrara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferrara
Context triple: [Clément Marot, residence, Ferrara]
  • A. Ferrara
    Ferrara is an Italian surname commonly associated with people of Italian heritage, including American actor Jerry Ferrara.
  • B. Ferrara chosen
    Ferrara is a historic city in Italy’s Emilia-Romagna region, renowned for its well-preserved Renaissance architecture and rich Jewish cultural heritage.
  • C. Bologna
    Bologna is a historic city in northern Italy renowned for its medieval architecture, rich culinary tradition, and the University of Bologna, one of the oldest universities in the world.
  • D. Modena
    Modena is a historic city in northern Italy’s Emilia-Romagna region, renowned for its balsamic vinegar, automotive heritage with Ferrari and Maserati, and its Romanesque cathedral and UNESCO-listed city center.
  • E. Faenza
    Faenza is a historic city in Italy’s Emilia-Romagna region, renowned for its traditional ceramics and artistic majolica production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035df9348190ad3f3d845207bf4d completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c91f4fb010819080ced464e4a71658 completed March 29, 2026, 12:47 p.m.
Created at: March 27, 2026, 4:07 p.m.